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Tao YH, Dai X, Moggach SA, Clode PL, Fitzgerald AJ, Hodgetts SI, Harvey AR, Wallace VP. The spectrum of Ih ice using terahertz time-domain spectroscopy. J Chem Phys 2024; 160:214503. [PMID: 38828818 DOI: 10.1063/5.0193458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 05/06/2024] [Indexed: 06/05/2024] Open
Abstract
Here, we report the frequency-dependent spectrum of ice Ih in the range of 0.2-2 THz. We confirm the presence of a feature that blue-shifts from around 1.55-1.65 THz with a decreasing temperature from 260 to 160 K. There is also a change in the trend of the refractive index of ice corresponding to a dispersion, which is also around 1.6 THz. The features are reproduced in data acquired with three commercial terahertz time-domain spectrometers. Computer-simulated spectra assign the feature to lattice translations perpendicular to the 110 and 1̄10 planes of the ice Ih crystal. The feature's existence should be recognized in the terahertz measurements of frozen aqueous solution samples to avoid false interpretations.
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Affiliation(s)
- Yu Heng Tao
- Department of Physics, The University of Western Australia, Crawley, WA 6009, Australia
| | - Xiangyu Dai
- College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, Guangdong, China
| | - Stephen A Moggach
- School of Molecular Sciences, The University of Western Australia, Crawley, WA 6009, Australia
| | - Peta L Clode
- Centre for Microscopy, Characterisation, and Analysis, The University of Western Australia, Crawley, Western Australia, Australia
| | - Anthony J Fitzgerald
- Department of Physics, The University of Western Australia, Crawley, WA 6009, Australia
| | - Stuart I Hodgetts
- School of Human Sciences, The University of Western Australia, Crawley, WA 6009, Australia
- Perron Institute for Neurological and Translational Science, Nedlands, WA, Australia
| | - Alan R Harvey
- School of Human Sciences, The University of Western Australia, Crawley, WA 6009, Australia
- Perron Institute for Neurological and Translational Science, Nedlands, WA, Australia
| | - Vincent P Wallace
- Department of Physics, The University of Western Australia, Crawley, WA 6009, Australia
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2
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Yang Z, Li D, Chen L, Qiu F, Yan S, Tang M, Wang C, Wang L, Luo Y, Sun F, Han J, Fan C, Li J, Wang H. Near-Field Terahertz Morphological Reconstruction Nanoscopy for Subsurface Imaging of Protein Layers. ACS NANO 2024; 18:10104-10112. [PMID: 38527229 DOI: 10.1021/acsnano.3c12776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
Protein layers formed on solid surfaces have important applications in various fields. High-resolution characterization of the morphological structures of protein forms in the process of developing protein layers has significant implications for the control of the layer's quality as well as for the evaluation of the layer's performance. However, it remains challenging to precisely characterize all possible morphological structures of protein in various forms, including individuals, networks, and layers involved in the formation of protein layers with currently available methods. Here, we report a terahertz (THz) morphological reconstruction nanoscopy (THz-MRN), which can reveal the nanoscale three-dimensional structural information on a protein sample from its THz near-field image by exploiting an extended finite dipole model for a thin sample. THz-MRN allows for both surface imaging and subsurface imaging with a vertical resolution of ∼0.5 nm, enabling the characterization of various forms of proteins at the single-molecule level. We demonstrate the imaging and morphological reconstruction of single immunoglobulin G (IgG) molecules, their networks, a monolayer, and a heterogeneous double layer comprising an IgG monolayer and a horseradish peroxidase-conjugated anti-IgG layer. The established THz-MRN presents a useful approach for the label-free and nondestructive study of the formation of protein layers.
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Affiliation(s)
- Zhongbo Yang
- Center of Super-Resolution Optics and Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
- Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China
| | - Dandan Li
- Center of Super-Resolution Optics and Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Ligang Chen
- Center of Super-Resolution Optics and Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
- Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China
| | - Fucheng Qiu
- Center of Super-Resolution Optics and Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
- Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China
| | - Shihan Yan
- Center of Super-Resolution Optics and Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
- Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China
| | - Mingjie Tang
- Center of Super-Resolution Optics and Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
- Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China
| | - Chunlei Wang
- Institute of Materiobiology, Department of Chemistry, College of Science, Shanghai University, Shanghai 200444, China
| | - Lihua Wang
- Institute of Materiobiology, Department of Chemistry, College of Science, Shanghai University, Shanghai 200444, China
| | - Yang Luo
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400044, China
| | - Fei Sun
- Center for Biological Imaging, Core Facilities for Protein Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Jiaguang Han
- Guangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China
| | - Chunhai Fan
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200024, China
| | - Jiang Li
- Institute of Materiobiology, Department of Chemistry, College of Science, Shanghai University, Shanghai 200444, China
| | - Huabin Wang
- Center of Super-Resolution Optics and Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
- Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China
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Yanina IY, Nikolaev VV, Zakharova OA, Borisov AV, Dvoretskiy KN, Berezin KV, Kochubey VI, Kistenev YV, Tuchin VV. Measurement and Modeling of the Optical Properties of Adipose Tissue in the Terahertz Range: Aspects of Disease Diagnosis. Diagnostics (Basel) 2022; 12:2395. [PMID: 36292084 PMCID: PMC9600075 DOI: 10.3390/diagnostics12102395] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 09/19/2022] [Accepted: 09/26/2022] [Indexed: 11/16/2022] Open
Abstract
In this paper, the measurement and modeling of optical properties in the terahertz (THz) range of adipose tissue and its components with temperature changes were performed. Spectral measurements were made in the frequency range 0.25-1 THz. The structural models of main triglycerides of fatty acids are constructed using the B3LYP/6-31G(d) method and the Gaussian03, Revision B.03 program. The optical density (OD) of adipose tissue samples decreases as temperature increases, which can be associated mostly with the dehydration of the sample. Some inclusion of THz wave scattering suppression into the OD decrease can also be expected due to refractive index matching provided by free fatty acids released from adipocytes at thermally induced cell lipolysis. It was shown that the difference between the THz absorption spectra of water and fat makes it possible to estimate the water content in adipose tissue. The proposed model was verified on the basis of molecular modeling and a comparison with experimental data for terahertz spectra of adipose tissue during its heating. Knowing the exact percentage of free and bound water in adipose tissue can help diagnose and monitor diseases, such as diabetes, obesity, and cancer.
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Affiliation(s)
- Irina Y. Yanina
- Institute of Physics, Saratov State University, 410012 Saratov, Russia
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, 634050 Tomsk, Russia
| | - Viktor V. Nikolaev
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, 634050 Tomsk, Russia
| | - Olga A. Zakharova
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, 634050 Tomsk, Russia
| | - Alexei V. Borisov
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, 634050 Tomsk, Russia
| | | | - Kirill V. Berezin
- Institute of Physics, Saratov State University, 410012 Saratov, Russia
| | - Vyacheslav I. Kochubey
- Institute of Physics, Saratov State University, 410012 Saratov, Russia
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, 634050 Tomsk, Russia
| | - Yuri V. Kistenev
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, 634050 Tomsk, Russia
| | - Valery V. Tuchin
- Institute of Physics, Saratov State University, 410012 Saratov, Russia
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, 634050 Tomsk, Russia
- Institute of Precision Mechanics and Control, FRC “Saratov Scientific Centre of the Russian Academy of Sciences”, 410028 Saratov, Russia
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S K, M Y, Rawson A, C. K S. Recent Advances in Terahertz Time-Domain Spectroscopy and Imaging Techniques for Automation in Agriculture and Food Sector. FOOD ANAL METHOD 2021. [DOI: 10.1007/s12161-021-02132-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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Using Attenuated Total Reflection (ATR) Apparatus to Investigate the Temperature Dependent Dielectric Properties of Water, Ice, and Tissue-Representative Fats. APPLIED SCIENCES-BASEL 2021. [DOI: 10.3390/app11062544] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
A novel method of investigating the temperature dependent variation of aspects of the complex refractive index n* in samples in the THz range using continuous, non-polarised, synchrotron radiation is presented. The method relies on the use of ATR apparatus, and retains the advantage of minimal sample preparation, which is a feature of ATR techniques. The method demonstrates a “proof of concept” of monitoring temperature reflectance whilst continuously heating or cooling samples by using a temperature variable Thermal Sample Stage. The method remains useful when the refractive index of the sample precludes attenuated total reflection study. This is demonstrated with the water reflectance experiments. The temperature dependent ATR reflectance of tissue-representative fats (lard and Lurpak® butter) was investigated with the novel approach. Both are within the ATR range of the diamond crystal in a “true” ATR mode. Lard showed no clear temperature variation between −15 °C and 24 °C at 0.7 to 1.15 THz or 1.70 to 2.25 THz. Lard can be regarded as having invariable, constant, dielectric properties within mixtures when biological substances are being assessed for temperature dependent dielectric variation within the stated THz ranges. Lurpak® butter (water content 14.7%) displayed temperature dependent reflected signal intensity features with a steady decline in reflectivity with increasing temperature. This is in line with the temperature-dependent behaviour of liquid water. There is no rapid change in reflected signal intensity even at −20 °C, suggesting that emulsified water retains liquid-water-like THz properties at freezing temperatures.
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Li D, Yang Z, Fu A, Chen T, Chen L, Tang M, Zhang H, Mu N, Wang S, Liang G, Wang H. Detecting melanoma with a terahertz spectroscopy imaging technique. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2020; 234:118229. [PMID: 32193158 DOI: 10.1016/j.saa.2020.118229] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 02/22/2020] [Accepted: 03/03/2020] [Indexed: 05/18/2023]
Abstract
Transmission mode terahertz time-domain spectroscopy system was employed to image BALB/c mouse skin tissue slices containing melanoma. The melanoma was unambiguously identified in the frequency region of 0.6-1.8 THz because melanoma has a higher refractive index as well as a higher absorption coefficient than the normal region of the skin tissue. Based on the results of hematoxylin-eosin staining and mass weighing, it was further suggested that the higher density of nucleic acids, higher water content, and lower fat content in the melanoma compared to the normal region are major factors responsible for melanoma's higher refractive index and absorption coefficient than normal tissue. The present work validates that terahertz time-domain spectroscopy imaging technique is possible to be used for the diagnosis of melanoma.
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Affiliation(s)
- Dandan Li
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, Chongqing University, Chongqing 400044, China; Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology & Research Center of Applied Physics, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Zhongbo Yang
- Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology & Research Center of Applied Physics, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Ailing Fu
- School of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China
| | - Tunan Chen
- Department of Neurosurgery, Southwest Hospital, Army Medical University, Chongqing 400038, China
| | - Ligang Chen
- Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology & Research Center of Applied Physics, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China; School of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China
| | - Mingjie Tang
- Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology & Research Center of Applied Physics, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Hua Zhang
- Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology & Research Center of Applied Physics, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Ning Mu
- Department of Neurosurgery, Southwest Hospital, Army Medical University, Chongqing 400038, China
| | - Shi Wang
- Department of Neurosurgery, Southwest Hospital, Army Medical University, Chongqing 400038, China
| | - Guizhao Liang
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, Chongqing University, Chongqing 400044, China.
| | - Huabin Wang
- Chongqing Engineering Research Center of High-Resolution and Three-Dimensional Dynamic Imaging Technology & Research Center of Applied Physics, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China.
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He Y, Liu K, Au C, Sun Q, Parrott EPJ, PickWell-MacPherson E. Determination of terahertz permittivity of dehydrated biological samples. Phys Med Biol 2017; 62:8882-8893. [PMID: 28944763 DOI: 10.1088/1361-6560/aa8ebe] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
A key step in transforming terahertz imaging to a practical medical imaging modality lies in understanding the interactions between terahertz (THz) waves and biological tissues. Most of the models in the literature use the permittivity of liquid water to simulate the THz-tissue interactions, but they often neglect contributions from the biological background such as proteins and lipids because dehydrated biological samples are experimentally difficult to prepare. In this work, we present a method to prepare thin and flat dehydrated samples which can be easily handled and measured in a transmission setup. Our results will provide fundamental parameters for modelling THz-tissue interactions.
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Affiliation(s)
- Yuezhi He
- Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong
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Zhang R, He Y, Liu K, Zhang L, Zhang S, Pickwell-MacPherson E, Zhao Y, Zhang C. Composite multiscale entropy analysis of reflective terahertz signals for biological tissues. OPTICS EXPRESS 2017; 25:23669-23676. [PMID: 29041318 DOI: 10.1364/oe.25.023669] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
We demonstrate a composite multiscale entropy (CMSE) method of terahertz (THz) signal complexity analysis to distinguish different biological tissues. The THz signals reflected from fresh porcine skin and muscle tissues were measured and analyzed. The statistically significant difference and separation of the two tissues based on several parameters were analyzed and compared for THz spectroscopy and imaging, which verified the better performance of the CMSE method and further enhancement of the contrast among THz signals that interact with different tissues. This process provides a better analysis and discrimination method for THz spectroscopy and imaging in biomedical applications.
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Sun Q, He Y, Liu K, Fan S, Parrott EPJ, Pickwell-MacPherson E. Recent advances in terahertz technology for biomedical applications. Quant Imaging Med Surg 2017; 7:345-355. [PMID: 28812001 DOI: 10.21037/qims.2017.06.02] [Citation(s) in RCA: 79] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Terahertz instrumentation has improved significantly in recent years such that THz imaging systems have become more affordable and easier to use. THz systems can now be operated by non-THz experts greatly facilitating research into many potential applications. Due to the non-ionising nature of THz light and its high sensitivity to soft tissues, there is an increasing interest in biomedical applications including both in vivo and ex vivo studies. Additionally, research continues into understanding the origin of contrast and how to interpret terahertz biomedical images. This short review highlights some of the recent work in these areas and suggests some future research directions.
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Affiliation(s)
- Qiushuo Sun
- Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T, Hong Kong SAR, China
| | - Yuezhi He
- Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T, Hong Kong SAR, China
| | - Kai Liu
- Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T, Hong Kong SAR, China
| | - Shuting Fan
- School of Physics and Astrophysics (M013), The University of Western Australia Perth, WA 6009, Australia
| | - Edward P J Parrott
- Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T, Hong Kong SAR, China
| | - Emma Pickwell-MacPherson
- Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T, Hong Kong SAR, China
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Park JY, Choi HJ, Cheon H, Cho SW, Lee S, Son JH. Terahertz imaging of metastatic lymph nodes using spectroscopic integration technique. BIOMEDICAL OPTICS EXPRESS 2017; 8:1122-1129. [PMID: 28271007 PMCID: PMC5330550 DOI: 10.1364/boe.8.001122] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Revised: 01/20/2017] [Accepted: 01/20/2017] [Indexed: 05/04/2023]
Abstract
Terahertz (THz) imaging was used to differentiate the metastatic states of frozen lymph nodes (LNs) by using spectroscopic integration technique (SIT). The metastatic states were classified into three groups: healthy LNs, completely metastatic LNs, and partially metastatic LNs, which were obtained from three mice without infection and six mice infected with murine melanoma cells for 30 days and 15 days, respectively. Under histological examination, the healthy LNs and completely metastatic LNs were found to have a homogeneous cellular structure but the partially metastatic LNs had interfaces of the melanoma and healthy tissue. THz signals between the experimental groups were not distinguished at room temperature due to high attenuation by water in the tissues. However, a signal gap between the healthy and completely metastatic LNs was detected at freezing temperature. The signal gap could be enhanced by using SIT that is a signal processing method dichotomizing the signal difference between the healthy cells and melanoma cells with their normalized spectral integration. This technique clearly imaged the interfaces in the partially metastatic LNs, which could not be achieved by existing methods using a peak point or spectral value. The image resolution was high enough to recognize a metastatic area of about 0.7 mm size in the partially metastatic LNs. Therefore, this pilot study demonstrated that THz imaging of the frozen specimen using SIT can be used to diagnose the metastatic state of LNs for clinical application.
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Affiliation(s)
- Jae Yeon Park
- Department of Physics, University of Seoul, Seoul 130- 743, South Korea
| | - Hyuck Jae Choi
- Department of Radiology, Kangwon National University Hospital, Chuncheon, South Korea
| | - Hwayeong Cheon
- Department of Physics, University of Seoul, Seoul 130- 743, South Korea
| | - Seong Whi Cho
- Department of Radiology, Kangwon National University Hospital, Chuncheon, South Korea
| | - Seungkoo Lee
- Department of Anatomic Pathology, Kangwon National University Hospital, Chuncheon, South Korea
| | - Joo-Hiuk Son
- Department of Physics, University of Seoul, Seoul 130- 743, South Korea
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